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import pandas as pd | |
import json | |
!wget http://www.cs.cmu.edu/~ark/personas/data/MovieSummaries.tar.gz | |
!tar -xvzf MovieSummaries.tar.gz | |
plots_df = pd.read_csv('MovieSummaries/plot_summaries.txt', sep='\t', header=None) | |
meta_df = pd.read_csv('MovieSummaries/movie.metadata.tsv', sep='\t', header=None) | |
plot = {} | |
metadata = {} | |
movie_data = {} | |
for movie_id, movie_plot in plots_df.values: | |
plot[movie_id] = movie_plot | |
for movie_id, movie_name, movie_genre in meta_df[[0,2,8]].values: | |
genre = list(json.loads(movie_genre).values()) | |
if len(genre): | |
metadata[movie_id] = {"name": movie_name, | |
"genre": genre} | |
for movie_id in set(plot.keys())&set(metadata.keys()): | |
movie_data[metadata[movie_id]['name']] = {"genre": metadata[movie_id]['genre'], | |
"plot": plot[movie_id]} | |
X, Y, names = [], [], [] | |
for movie_name, movie_meta in movie_data.items(): | |
X.append(movie_meta['plot']) | |
Y.append(movie_meta['genre']) | |
names.append(movie_name) |
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